MATH 4339 - Multivariate Statistics

Credit Hours: 3
Lecture Contact Hours: 3 Lab Contact Hours: 0

Prerequisite: MATH 3339 or MATH 3349.
Description
Multivariate analysis is a set of techniques used for analysis of data sets that contain more than one variable, and the techniques are especially valuable when working with correlated variables. The techniques provide a method for information extraction, regression, or classification. This includes applications of data set using statistical software.
Repeatability: No

Additional Fee: No